Transmit-Power and Interference Control Algorithm in Cognitive Radio Network Based on Non-cooperative Game Theory

Cognitive radio (CR) is a form of wireless communication, that provides solution for the spectrum underutilization problems via dynamic spectrum sharing among primary users and secondary users. In cognitive radio network, interference and power consumption must be carefully controlled to maximize the channel usage. Game theory has emerged in the last fifteen years as an effective framework for communications problems, which is used to analyze those problems and help to derive solutions. In this paper, we propose a sufficiently opportunistic utilization for spectrum resources by solving two challenges: interference and power consumption. We analyze the spectrum allocation problem under game theoretical framework and we propose an efficient algorithm to examine the design specification issues regarding the choice of optimal power, optimal speed, and optimal amount of information in a wireless network. Our objectives are to regulate the opportunistic spectrum access, by the secondary users in order to guarantee the protection on licensed users from harmful interference. More especially, to optimize the quality of communication link, transmission levels, and battery life of the wireless devices.